Class/Object

ksb.csle.didentification.verification

Verification

Related Docs: object Verification | package verification

Permalink

class Verification extends DataFrameCheck

Linear Supertypes
DataFrameCheck, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. Verification
  2. DataFrameCheck
  3. AnyRef
  4. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new Verification(p: PrivacyCheckInfo)

    Permalink

Value Members

  1. final def !=(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  5. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

    Permalink
    Definition Classes
    AnyRef → Any
  10. def getColumnName(src: DataFrame, columnId: Int): String

    Permalink

    Returns column name from src dataframe specified by the column ID defined by protobuf.

    Returns column name from src dataframe specified by the column ID defined by protobuf.

    src

    dataframe to get names of columns.

    columnId

    column ID to anonymize.

    returns

    String.

    Definition Classes
    DataFrameCheck
  11. def getColumnNames(src: DataFrame, columnIDs: Array[Int]): Array[String]

    Permalink

    Returns column names from src dataframe specified by column IDs.

    Returns column names from src dataframe specified by column IDs. Note that the column with invalid IDs are ignored.

    src

    dataframe to get names of columns.

    returns

    Array[String].

    Definition Classes
    DataFrameCheck
  12. def getQuasiColumnIDs(fieldInfos: Array[FieldInfo]): Array[Int]

    Permalink
    Definition Classes
    DataFrameCheck
  13. def getSensColumnIDs(fieldInfos: Array[FieldInfo]): Array[Int]

    Permalink
    Definition Classes
    DataFrameCheck
  14. def getValidColumnIDs(src: DataFrame, columnIDs: Array[Int]): Array[Int]

    Permalink
    Definition Classes
    DataFrameCheck
  15. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  16. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any
  17. def isValidColumnID(src: DataFrame, columnID: Int): Boolean

    Permalink

    Checks the given column ID is valid.

    Checks the given column ID is valid.

    src

    dataframe to get names of columns.

    returns

    Boolean.

    Definition Classes
    DataFrameCheck
  18. def isValidColumnName(src: DataFrame, columnName: String): Boolean

    Permalink

    Checks the given column Name is valid.

    Checks the given column Name is valid.

    src

    dataframe to get names of columns.

    columnName

    column Name.

    returns

    Boolean.

    Definition Classes
    DataFrameCheck
  19. def measureAnonymity(src: DataFrame, columnNames: Array[String], sens: Array[String], checkType: CheckAnonymityMethod): Double

    Permalink
  20. def measureAnonymity(src: DataFrame, anonymized: DataFrame, columnNames: Array[String], sens: Array[String], checkType: CheckAnonymityMethod): (Double, Double)

    Permalink
  21. def measureLoss(src: DataFrame, anonymizedSrc: DataFrame, suppressedSrc: DataFrame, columnNames: Array[String], lossType: LossMeasureMethod): InformationLossBound

    Permalink
  22. def measureLoss(src: DataFrame, anonymizedSrc: DataFrame, columnNames: Array[String], lossType: LossMeasureMethod): InformationLossBound

    Permalink
  23. def measureRisk(src: DataFrame, anonymizedSrc: DataFrame, columnNames: Array[String], riskType: RiskMeasureMethod): (Double, Double)

    Permalink
  24. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  25. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  26. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  27. def printAnonymityInfo(sAnonymity: Double, aAnonymity: Double, checkType: CheckAnonymityMethod): Unit

    Permalink
  28. def printAnonymizeResult(src: DataFrame, result: DataFrame, fieldInfos: Array[FieldInfo]): Unit

    Permalink
  29. def printLossInfo(info: String, loss: InformationLossBound): Unit

    Permalink
  30. def printLossInfo(loss: InformationLossBound, lossType: LossMeasureMethod): Unit

    Permalink
  31. def printRiskInfo(srcRisk: Double, anonymizedRisk: Double, riskType: RiskMeasureMethod): Unit

    Permalink
  32. val privacy: PrivacyCheckInfo

    Permalink
  33. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  34. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any
  35. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  36. final def wait(arg0: Long, arg1: Int): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  37. final def wait(arg0: Long): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from DataFrameCheck

Inherited from AnyRef

Inherited from Any

Ungrouped